MODEL PROFILE · 模型档案

Mythos-V2-9B-GGUF

fableforge-ai · Mythos-V2-9B-GGUF

> **23 official quantizations of fableforge-ai/Mythos-V2-9B** (Qwen3.5-9B — uncensored, 13.7/15 benchmark at Q4_K_M, hybrid linear-attention 256K arch). > **Imatrix note:** Low-bit `IQ1`/`IQ2`/`IQ3` quants are importance-matrix quantized (imatrix computed on 4.6 MB of general text). The final NextN/MTP block (`blk.32`) is quantized to `q8_0` in these files because it is never exercised during imatrix calibration. > **Speed (M3, Ollama):** Q4_K_M ≈ **2.8–3.5 tok/s** generation, ~45 tok/s prompt processing. Quantization > is not the bottleneck: Qwen3.5's hybrid linear-attention arch is slower per-token than dense Qwen3 in > Ollama/llama.cpp (dense 9B Q4s reach ~7 tok/s on the same hardware). Expect low-bit quants to score > below these numbers; Q4_K_M and above reproduce them faithfully.

译文排队中,当前展示来源原文。

文本生成license:apache-2.0
上下文窗口来源未披露
输入 → 输出文本 → 文本
模型权重待核验
档案更新时间2026/11/2 19:15:56
OVERVIEW

模型介绍

> **23 official quantizations of fableforge-ai/Mythos-V2-9B** (Qwen3.5-9B — uncensored, 13.7/15 benchmark at Q4_K_M, hybrid linear-attention 256K arch). > **Imatrix note:** Low-bit `IQ1`/`IQ2`/`IQ3` quants are importance-matrix quantized (imatrix computed on 4.6 MB of general text). The final NextN/MTP block (`blk.32`) is quantized to `q8_0` in these files because it is never exercised during imatrix calibration. > **Speed (M3, Ollama):** Q4_K_M ≈ **2.8–3.5 tok/s** generation, ~45 tok/s prompt processing. Quantization > is not the bottleneck: Qwen3.5's hybrid linear-attention arch is slower per-token than dense Qwen3 in > Ollama/llama.cpp (dense 9B Q4s reach ~7 tok/s on the same hardware). Expect low-bit quants to score > below these numbers; Q4_K_M and above reproduce them faithfully.

主要特点

特点摘要待依据来源补齐,不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价,不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价,请查阅来源渠道。

按月估算基础 Token 费用

—

预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用?

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗?

不是实时结算价格,而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。